DEVELOPMENT... OpenML
Run
105693

Run 105693

Task 3917 (Supervised Classification) kc1 Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_ADTree(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.AdaBoostM1_ADTree(2)_I10
weka.AdaBoostM1_ADTree(2)_P100
weka.AdaBoostM1_ADTree(2)_S1
weka.AdaBoostM1_ADTree(2)_Wweka.classifiers.trees.ADTree

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.7841
Per class
Build CPU time
1.5374
Build memory
349948176.1973
F measure
0.8287
Per class
Kappa
0.265
KB relative information score
171.11
Mean absolute error
0.2007
Mean prior absolute error
0.2616
Number of instances
2109
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8327
Per class
Predictive accuracy
0.8582
Prior entropy
0.622
Recall
0.8582
Per class
Relative absolute error
0.7672
Root mean prior squared error
0.3615
Root mean squared error
0.3358
Root relative squared error
0.9289
SciMark benchmark
945.384